CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling

ArXi:2604.04250v1 Announce Type: new Modern Large Language Models (LLMs) rely on Transformer self-attention, which scales quadratically with sequence length. Recent linear-time alternatives, like State Space Models (SSMs), often suffer from signal degradation over extended contexts. We